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make transform_DDP more intuitive

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ykume
2023-05-03 11:07:29 +09:00
parent e1143caf38
commit 2fcbfec178
6 changed files with 8 additions and 8 deletions
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6
library/train_util.py
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@@ -2897,9 +2897,9 @@ def _load_target_model(args: argparse.Namespace, weight_dtype, device="cpu"):
return text_encoder, vae, unet, load_stable_diffusion_format
def transform_DDP(text_encoder, unet, network=None):
def transform_if_model_is_DDP(text_encoder, unet, network=None):
# Transform text_encoder, unet and network from DistributedDataParallel
return (encoder.module if type(encoder) == DDP else encoder for encoder in [text_encoder, unet, network])
return (model.module if type(model) == DDP else model for model in [text_encoder, unet, network] if model is not None)
def load_target_model(args, weight_dtype, accelerator):
@@ -2922,7 +2922,7 @@ def load_target_model(args, weight_dtype, accelerator):
torch.cuda.empty_cache()
accelerator.wait_for_everyone()
text_encoder, unet, _ = transform_DDP(text_encoder, unet, network=None)
text_encoder, unet = transform_if_model_is_DDP(text_encoder, unet)
return text_encoder, vae, unet, load_stable_diffusion_format